Design and Implementation of Torque Sensing System of Intelligent E-bike

DOI

10.2991/icmemtc-16.2016.65How to use a DOI?

Keywords

E-bike; torque sensor; ICPT; wireless transmission.

Abstract

Aiming at the difficulties in developments, high cost of torque sensing system of e-bike, a novel torque sensing system based on sensitive sensing component has been proposed. The signal acquisition component which includes a torque sensor based on a sensitive strain gauge, an electrical signal processing unit built up with differential amplifier and A/D conversion circuit, and a computation and wireless transceiver center based on lower power consumption processor CC1110 is installed on the middle axle of e-bike to achieve signal acquisition. Moving weighted average filtering algorithm is applied in the software to enhance the stability of data acquisition. The methods of least-square is used to ensure the high-precision of data acquisition. The wireless transmission of power and signal is realized by using the technology of inductive power which based on inductive coupled power transfer (ICPT) and technology of digital wireless communication. Focused on accuracy and durability, the system is tested based on simulating the actual environment. The experimental results indicate that the system is stable, high precision and the error is less than 1% within the whole measurement in range of 0~20km. The work in this paper has practical value.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Xiadong Zhang
AU  - Yunfei Li
AU  - Juncheng Jia
PY  - 2016/04
DA  - 2016/04
TI  - Design and Implementation of Torque Sensing System of Intelligent E-bike
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 338
EP  - 343
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.65
DO  - 10.2991/icmemtc-16.2016.65
ID  - Zhang2016/04
ER  -